Position Details: Senior Associate – Data Scientist (JOB CODE - 253)

Description:

Position Title: Senior Associate – Data Scientist

Location: Chennai (Tecci Park, Sholinganallur)

Job Type: Work-from-office with a hybrid work-from-home option, following company policy.

Shift Time & Working Hours: UK Time Zone (3 PM – 12 AM) Work from office (4 hours + 4 hours WFH) 

Experience: 2+ Years

Education Requirements: Bachelor’s Degree in Engineering or a Master's with a specialization in Computer Science or Information Technology.

Skills: Proficient in SQL, Python, Machine Learning, and Databricks.

Job Description:

Special Skills Required:

• Proven experience as a Data Scientist or similar role, with a minimum of 3 years of hands-on experience in building, deploying, and optimizing machine learning models in production environments.
• Strong proficiency in programming languages such as Python or R for data analysis and machine learning.
• Solid experience with cloud platforms, especially AWS, and familiarity with services like SageMaker for model deployment and management.
• Expertise in working with large datasets and experience with distributed computing frameworks (e.g., Apache Spark, Dask) for scalable data processing.
• In-depth knowledge of data science tools and libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of version control (e.g., Git) and experience with CI/CD pipelines for automating model training and deployment workflows.
• Hands-on experience with data engineering tasks, including ETL processes and feature engineering to prepare data for machine learning.
• Strong problem-solving skills, with the ability to analyze data-driven systems and implement effective solutions.
• Excellent communication and collaboration skills, capable of presenting complex data-driven insights to both technical and non-technical stakeholders.

Position Overview:

Analyzing and interpreting complex data to help organizations make informed business decisions. The role blends technical expertise in data analysis, programming, and machine learning with a deep understanding of advertising business needs to extract valuable insights from vast amounts of data.

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